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Dr. Yogesh Kumar Rathore
Dr. Yogesh Kumar Rathore
Ph.D. (NIT Raipur), Asst. prof. at SSIPMT Raipur
Verified email at ssipmt.com
Title
Cited by
Cited by
Year
Deep convolution neural network based system for early diagnosis of Alzheimer's disease
RR Janghel, YK Rathore
Irbm 42 (4), 258-267, 2021
1242021
Detection of copy-move forgery of images using discrete wavelet transform
P Yadav, Y Rathore
International Journal on Computer Science and Engineering 4 (4), 565, 2012
412012
A survey: detection and prediction of diabetes using machine learning techniques
P Indoria, YK Rathore
International Journal of Engineering Research & Technology (IJERT) 7 (3 …, 2018
392018
Colorization of gray scale images using fully automated approach
Y Rathore, A Dhole, R Giri, U Agrawal
The International Journal on Electronics & Communication Technology 1, 16-19, 2010
232010
Image Quality estimation of Images using Full Reference and No Reference Method.
DK Dewangan, Y Rathore
International Journal of Advanced Research in Computer Science 2 (5), 2011
202011
Image quality costing of compressed image using full reference method
DK Dewangan, Y Rathore
International Journal of Technology 1 (2), 68-71, 2011
192011
Rice leaf disease classification using CNN
P Tejaswini, P Singh, M Ramchandani, YK Rathore, RR Janghel
IOP Conference Series: Earth and Environmental Science 1032 (1), 012017, 2022
182022
Detection and classification of blood cancer from microscopic cell images using SVM KNN and NN classifier
S Paswan, YK Rathore
Int. J. Adv. Res. Ideas Innov. Technol 3, 315-324, 2017
182017
DWT based copy-move image forgery detection
P Yadav, Y Rathore, A Yadu
International Journal of Advanced Research in Computer Science and …, 2012
172012
Rice leaf disease prediction using machine learning
VP Bhartiya, RR Janghel, YK Rathore
2022 Second International Conference on Power, Control and Computing …, 2022
102022
Segmentation of rice seedling using deep learning algorithm
A Kumar, A Rajanand, AD Kujur, Y Rathore, RR Janghel
2022 IEEE 11th International Conference on Communication Systems and Network …, 2022
92022
Performance comparison of machine learning techniques for epilepsy classification and detection in EEG signal
RR Janghel, A Verma, YK Rathore
Data Management, Analytics and Innovation: Proceedings of ICDMAI 2019 …, 2020
92020
Resource management in cloud computing with increasing dataset
P Agrawal, Y Rathore
Int. J. Emerg. Technol. Adv. Eng., ISSN, 2250-2459, 2012
72012
An Approach for Effective Resource Management in Cloud Computing
P Agrawal, Y Rathore
International Journal of Technology, 121-124, 2011
72011
Detection of disease from leaf of vegetables and fruits using deep learning technique
A Jaiswal, S Pathak, YK Rathore, RR Janghel
Advances in Biomedical Engineering and Technology: Select Proceedings of …, 2021
62021
Rice leaf disease detection using mobile net and inception V. 3
PR Kumar, R Kiran, UP Singh, Y Rathore, RR Janghel
2022 IEEE 11th international conference on communication systems and network …, 2022
52022
Enhancing Learnability of Classification Algorithms Using Simple Data Preprocessing in fMRI Scans of Alzheimer’s Disease
R Garg, RR Janghel, Y Rathore
Advances in Automation, Signal Processing, Instrumentation, and Control …, 2021
52021
Epileptic seizure detection and classification using machine learning
RR Janghel, YK Rathore, G Tatiparti
Early detection of neurological disorders using machine learning systems …, 2019
52019
A novel AI-based approach for better segmentation of the fungal and bacterial leaf diseases of rice plant
YK Rathore, RR Janghel, SK Pandey, A Kumar, KU Singh, MA Shah
Journal of Sensors 2022, 1-12, 2022
42022
Prediction of stage of Alzheimer's disease Densenet Deep learning model
YK Rathore, RR Janghel
Next Generation Healthcare Systems Using Soft Computing Techniques, 105-121, 2022
42022
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